Devstral 2 2512 vs Gemini 3.8 Flash
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on September 30, 2026· 217 models
Devstral 2 is a state-of-the-art open-source model by Mistral AI specializing in agentic coding.
- Reasoning estimated
- Speed estimated
- Input
- Output
- Context
- 262 K tokens
- Max output
- ▲210 K
- Input, $ per 1M tokens
- ▲$0.400
- Output, $ per 1M tokens
- ▲$2.00
- Cache read, $ per 1M
- $0.040
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 12/09/2025
- Knowledge cutoff
- 2025-12
- API id
- mistralai/devstral-2512
Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.
- Reasoning estimated
- ▲
- Speed estimated
- ▲
- Input
- Output
- Context
- ▲1 M tokens
- Max output
- 66 K
- Input, $ per 1M tokens
- $0.750
- Output, $ per 1M tokens
- $3.75
- Cache read, $ per 1M
- $0.075
- Batch (input / output)
- $0.375 / $1.88
- Tool calling
- Yes
- Released
- ▲09/02/2026
- Knowledge cutoff
- —
- API id
- google/gemini-3.8-flash
Which is the better API choice: Devstral 2 2512 vs Gemini 3.8 Flash?
- Devstral 2 2512: cheapest input (47% less than Gemini 3.8 Flash)
- Devstral 2 2512: cheapest output
- Gemini 3.8 Flash: largest context (1 M)
- Gemini 3.8 Flash: the newest (09/02/2026)
- Gemini 3.8 Flash: most reasoning (estimated)
- Gemini 3.8 Flash: the fastest (estimated)
Devstral 2 2512 costs 47% less on input and 47% less on output than Gemini 3.8 Flash ($0.400 / $2.00 versus $0.750 / $3.75 per million tokens). Gemini 3.8 Flash accepts more context (1 M). On capabilities, Gemini 3.8 Flash accepts images; Gemini 3.8 Flash has a reasoning mode; only Gemini 3.8 Flash accepts audio. Gemini 3.8 Flash offers a batch tier at half price for jobs that do not need an immediate answer.
What would your product cost?
Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.
With Devstral 2 2512 you save $12.25 a month versus Gemini 3.8 Flash (47% less).
The 6 cheapest for this scenario (chat, last 12 months)
- 1Lyria 3 Pro Preview Google$0.00
- 2Lyria 3 Clip Preview Google$0.00
- 3Qwen3.7 Flash Qwen$0.97
- 4DeepSeek V4 Flash 0731 DeepSeek$1.55
- 5Ministral 3 3B 2512 Mistral$1.90
- 6Qwen3.5-Flash Qwen$2.02
Paste your prompt: tokens and cost per model
Rough estimate (about 4 characters per token). Nothing is sent to any server.
Cost of sending it 1,000 times (input only)
- 1Devstral 2 2512 Mistral$0.030
- 2Gemini 3.8 Flash Google$0.057
- 3Claude Sonnet 5.5 Anthropic$0.152
- 4Claude Sonnet 5 Anthropic$0.152
- 5Claude Opus 5.5 Anthropic$0.304
- 6Claude Opus 5 Anthropic$0.380
- 7Claude Fable 5.1 Anthropic$0.760
- 8Claude Fable 5 Anthropic$0.760
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Frequently asked questions
Which is the better API choice: Devstral 2 2512 vs Gemini 3.8 Flash?
Devstral 2 2512 costs 47% less on input and 47% less on output than Gemini 3.8 Flash ($0.400 / $2.00 versus $0.750 / $3.75 per million tokens). Gemini 3.8 Flash accepts more context (1 M). On capabilities, Gemini 3.8 Flash accepts images; Gemini 3.8 Flash has a reasoning mode; only Gemini 3.8 Flash accepts audio. Gemini 3.8 Flash offers a batch tier at half price for jobs that do not need an immediate answer.
Which is cheaper: Devstral 2 2512 and Gemini 3.8 Flash?
Devstral 2 2512 is cheaper: $0.400 per million input tokens and $2.00 per million output tokens, versus $0.750 / $3.75 for Gemini 3.8 Flash.
Which has more context: Devstral 2 2512 and Gemini 3.8 Flash?
Gemini 3.8 Flash accepts 1 M tokens of context; Devstral 2 2512 accepts 262 K.
Which is newer: Devstral 2 2512 and Gemini 3.8 Flash?
Gemini 3.8 Flash was released on 09/02/2026; Devstral 2 2512 on 12/09/2025.
What would 10,000 requests a month cost with Devstral 2 2512 and Gemini 3.8 Flash?
With 1,500 input and 400 output tokens per request: Devstral 2 2512: $14.00; Gemini 3.8 Flash: $26.25 a month, at list price.
Where do the prices come from and how often are they updated?
From the public catalogs of OpenRouter, models.dev and LiteLLM, which publish each provider's list prices. They sync once a day and the last update date is shown above the comparison.
What does price per million tokens mean?
It is what the provider charges per million tokens you send (input) or the model generates (output). A token is roughly 4 characters. Output almost always costs more than input.
Sources: OpenRouter, models.dev and LiteLLM. Prices in USD per million tokens, list price, no volume discounts. Prompt tokens are an estimate; each provider's tokenizer may differ.